1 to 25 of 1,333 Remote SQL Jobs in London

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

technical direction and project outcomes. What You’ll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

technical direction and project outcomes. What You’ll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

technical direction and project outcomes. What You’ll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

technical direction and project outcomes. What You’ll Need 4+ years of data engineering experience , including at least 2 years hands-on with modern data platforms. Strong proficiency in SQL , data modelling, and query optimisation. Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric . Solid understanding of ETL/ELT pipelines and data warehousing principles . Strong communication More ❯

with DBT for modular data modelling, testing, documentation, and CI/CD integration. Skilled in Azure Data Factory, Synapse, and Databricks for end-to-end data pipeline orchestration. Excellent SQL engineering capability; experience designing data models for analytics and operational reporting. Proven track record in the insurance or wider financial services sector, ideally with large dataset experience. Experience working in More ❯

Unit4 Lead Technical Consultant Permanent | Fully Remote (UK) £65,000 - £80,000 + bonus Key Skills: SQL (T-SQL or PL/SQL) * Unit4 ERP Datasets/Data Dictionary * REST & SOAP Web Services * PowerShell * RERX/ARC/Xtra Reporting About the Role We're seeking a technically focused Unit4 Lead Consultant to take ownership of complex solution design, development … Do Design and build advanced technical solutions across Unit4 ERP, including reports, integrations, and extensions. Translate business and functional requirements into technical specifications and data models. Develop and optimise SQL queries and stored procedures across T-SQL or PL/SQL environments. Build and maintain REST and SOAP APIs , supporting seamless system integrations. Create and convert reports using RERX, ARC … and guide less experienced consultants in coding standards, integration design, and troubleshooting techniques. Technical Skills & Experience In-depth experience with Unit4 ERP technical architecture , datasets, and data dictionaries. Strong SQL development background (T-SQL or PL/SQL). Proven experience working with Unit4 ERP integration routines and interfaces (e.g., GL07, CS15, LG04). Proficiency with web services technologies (REST More ❯

developments in data science, AI, and machine learning. Required Skills & Experience Proven experience as a Data Scientist or in a similar role. Strong programming skills in Python, R, or SQL . Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch . Solid understanding of statistics, predictive modeling, and data mining techniques. Experience with data visualization More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with More ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate More ❯

software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate More ❯

such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions) Managing and querying data lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical More ❯

libraries and shared frameworks, ensuring performance, reliability, and maintainability across the technology stack. Requirements Strong professional experience with Python and deep understanding of object-oriented programming. Advanced knowledge of SQL and relational database technologies. Familiarity with DevOps practices, including Docker and cloud-native deployment pipelines. Proficiency in Linux and Windows environments. Experience with AWS and Snowflake. Prior experience in energy More ❯